Seaborn – Learning Syllabus Table Of Contents: Basics of Seaborn & Setup Basic Plot Types Advanced Statistical Plots Pairwise Relationships & Correlation Plots Categorical Data Visualization Regression & Trend Analysis Customizing Seaborn Plots Working with Large Datasets & Complex Visualizations (1) Basics of Seaborn & Setup What is Seaborn? Why use it over Matplotlib? Installing Seaborn (pip install seaborn) Importing Seaborn & Matplotlib (import seaborn as sns) Understanding Seaborn’s built-in datasets (sns.get_dataset_names()) Loading datasets (sns.load_dataset(“tips”)) (2) Basic Plot Types Line Plot (sns.lineplot()) Scatter Plot (sns.scatterplot()) Bar Plot (sns.barplot()) Count Plot (sns.countplot()) Histogram (sns.histplot()) KDE Plot (sns.kdeplot()) (3) Advanced Statistical Plots

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